David W. Allmann

2.0k citations
40 papers · 1.6k indexed · h-index 20

Impact in

Papers in

David W. Allmann

40 papers receiving 1.5k citations

Peers

David W. Allmann
Comparison fields: 5 of 101
  • Clinical Biochemistry 364
  • Biochemistry 260
  • Physiology 412
  • Molecular Biology 1.0k
  • Cell Biology 223
Replace C. Panneerselvam with:
C. Panneerselvam India
John R. Trevithick Canada
F.N. LeBaron United States
D. H. Smyth United Kingdom
Luigi Cucchiarini Italy
J. Erbland United States
Donald F. Tapley United States
Lewis C. Mokrasch United States
Keith Snell United Kingdom
Shinji Ohmori Japan
David W. Allmann relative to C. Panneerselvam India C. Panneerselvam's profile →
Citations per field
00.5×1.5×1.8×
C. Panneerselvam · 1×
Citations per year

Countries citing papers authored by David W. Allmann

Since Specialization
Citations

This map shows the geographic impact of David W. Allmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David W. Allmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Allmann more than expected).

Fields of papers citing papers by David W. Allmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Allmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David W. Allmann. The network helps show where David W. Allmann may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David W. Allmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David W. Allmann Line = papers co-authored together David W. Allmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 19928
2 19881
3
Stimulation of cAMP accumulation in rat aorta and diaphragm by fluorine containing compounds.
19861
4 19859
5 198426
6
pH gradient-induced redistribution of fluoride in rat hepatocyte suspensions
19812
7 197910
8 19794
9 19789
10 19758
11 197311
12 197037
13 19706
14 197024
15 196852
16 196644
17 196638
18 1965171
19 195815
20 19568

About David W. Allmann

David W. Allmann is a scholar working on Clinical Biochemistry, Biochemistry, Physiology, Molecular Biology and Cell Biology, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (15 papers), Metabolism and Genetic Disorders (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Lipid metabolism and biosynthesis (5 papers), Adipose Tissue and Metabolism (5 papers), ATP Synthase and ATPases Research (4 papers), Biochemical effects in animals (4 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Clinical Biochemistry (364 citations), Biochemistry (260 citations), Physiology (412 citations), Molecular Biology (1.0k citations) and Cell Biology (223 citations). David W. Allmann has collaborated with scholars based in United States and Japan. Frequent co-authors include D. M. Gibson, D.E. Green, E. Bachmann, Zafarul H. Beg, David E. Green, Takashi Wakabayashi, Asha Shahed, James F. Perdue, Krystyna C. Kopaczyk and Gary M. Whitford. Their work appears in journals such as Archives of Biochemistry and Biophysics, Journal of Dental Research, Journal of Bioenergetics and Biomembranes, Biochemical and Biophysical Research Communications and Journal of Lipid Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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